Current Openings

Openings

This page contains information on available positions, new projects and opportunities for scholarships and funding.

Graduate students

We are looking for bright and self-motivated graduate students in the generic field of Computational Materials Engineering. Because of the multidisciplinary nature of our work, candidates from Engineering (Aerospace / Mechanical / Materials Science / Civil / Chemical / Nano / Nuclear Eng) or Physical Sciences (Applied Physics / Chemistry) are encouraged to apply.

Undergraduate students

Working in our research group is an excellent way to gain valuable engineering experience, as well as to gain insight into graduate research. Undergraduate students wishing to work in our lab are encouraged to contact me.

Postdoctoral researchers

We currently have several openings for postdoctoral scholars in the Arroyave Lab at Texas A&M University.

Projects are related to physics- and machine learning-based materials discovery and design. The projects are broad and exciting with significant

opportunity to contribute to the development of extremely novel frameworks for the accelerated design and discovery of materials. Our group uses a wide range of computational techniques, including DFT calculations, phase-field modeling, continuum modeling and CALPHAD-based computational thermodynamics to investigate the connection between chemistry, processing, microstructure and properties. We complement these physics-based simulation frameworks with machine learning approaches to build efficient predictive models that can be used to query the materials design space. The inverse exploration of the materials design space is in turn facilitated by novel active learning approaches based on Bayesian Optimization and related techniques. Our group collaborates extensively with other computational and experimental groups and most projects in which we are involved are highly interdisciplinary in nature.

Candidates for these positions are expected to have experience and relevant publications in at least two of the following topics: alloy theory, density functional theory, CALPHAD, design and optimization, machine learning, additive manufacturing, microstructure-based materials design, uncertainty quantification and propagation, mechanics of materials, materials theory, etc. Candidates should have a record in the scientific literature as first authors of peer-reviewed journals. Moreover, they should have good writing skills. Ideal candidates should be able to demonstrate not only technical competence but also significant professional skills, including oral/written communication.

In addition to helping supervise research on specific projects, candidates selected for this position are expected to help supervise graduate and

undergraduate students and assist Dr. Arróyave in the day-to-day operations of his laboratory. Postdocs in Dr. Arróyave are given significant freedom to explore new ideas and are encouraged to help in research idea and proposal development.

Interested candidates are asked to send a CV and one example of a paper already published as first author to Dr. Arróyave at rarroyave@tamu.edu with subject line: Postdoc Inquiry -Materials Discovery and Design.